Real positions. Real outcomes. No cherry-picking.
A working record of every thesis I have put real money behind.
- The reasoning, written down before the outcome is known
- The entry and exit, dated, not reconstructed after the fact
- What actually happened, published as positions close
Verified against actual tradebooks and P&L statements, not self-reported estimates.
Track Record at a Glance
Full case studies →About Me
I am Anish Krishna BV, a recent BSc Economics graduate and CFA Level II candidate. This site is where that knowledge gets tested: financial modelling, valuation, and macro analysis applied against real positions and real money. The thesis gets written down before the trade, then graded honestly after it closes.
Why Equity Research
The interesting question is never the price. It is what the market got wrong to produce it. But there is a bigger reason I care about this at all. Most household savings in India still sit in instruments that barely keep pace with inflation, and equity participation remains a minority habit here, even though it is one of the most reliable ways to actually grow savings over time. I want to help change that, and the honest way to earn a voice in that conversation is to first get genuinely good at evaluating what a business is actually worth. Equity research is that discipline, and this site is where I practice it in public: a dated record of every thesis, entry, exit, and outcome, added to as positions close.
Investment Thesis
Why I underweight large caps, what "asymmetric upside" means for my sizing, and the exit discipline my own track record has forced me to adopt.
Read the thesis →Industry Notes
Sector-level research, where I am looking, where I am staying away, and why, independent of any single position.
Browse notes →Case Studies
Closed positions, published as they happen, the original thesis, the numbers, and an honest post-mortem, including what I would do differently.
See the track record →Investment Thesis
I have no dependents and no near-term liquidity needs, no mortgage, no family to support, no timeline forcing me to de-risk. That changes the math on what counts as a "good" bet. A steady 10–12% compounder is a fine outcome for someone protecting capital they cannot afford to lose. It is a mediocre outcome for me. I have room to be wrong.
The specific target I am working toward: veteran BSE investor Ramesh Damani has long talked about aiming to double your money roughly every three years, a 26% CAGR. That is what I am aiming for. My own account's XIRR since 2021 sits at 21.60%, real progress toward it, not there yet. I would rather track myself against an actual number than a vague ambition.
What That Means Practically
no near-term liquidity needs
room to be wrong
can hold through drawdowns
Undertake a small number of asymmetric bets, not index-matching compounders.
The long horizon is what makes the risk tolerable, it is not the reason for taking it. The reason is that a mega-cap returning 12% a year does not move my trajectory even at scale; a well-timed position in a mispriced mid- or small-cap can, even though none of these are venture-style 10x outcomes yet. Part of that is simply time, this is still a young portfolio, and the highest-conviction, longest-duration bets have not had the runway to compound the way they eventually should. I concentrate rather than diversify broadly, because sizing and being right on the thesis matter more here than smoothing variance.
The Filter
✓ Where I Look
✕ Where I Stay Away
How I Handle Exits
Entries are consistently well-reasoned across the case studies published here, and I have gotten real exit calls right too, cutting Dwarkesh Sugar and DreamFolks early avoided deeper losses in both. The growth area is the opposite case: taking profits on an intact thesis too soon. Three things I hold myself to now:
What I am Not Claiming
This is not a "beat the market" pitch or investment advice. It is one person underwriting risk that fits his own balance sheet and time horizon, written down here because that is what actually keeps me honest with myself.
Industry Notes
Sector-level views, kept independent of any single position, this is the "worldview" layer, not tied to whether I hold a stock in the sector today.
▸Agriculture
Agriculture
Avoided almost entirely.
Why
The structural problems run deep: Indian farmland is highly fragmented, with very small average holding sizes that prevent any real economies of scale. That fragmentation shows up directly in the numbers, agriculture employs close to 50% of India's workforce but contributes less than 15% to GDP, which is really just another way of saying productivity per worker is low and structurally difficult to fix quickly.
On top of that, the sector is exposed to unpredictable factors I have no edge in forecasting, monsoons, weather shocks, and input cost inflation, combined with a persistent logistics gap that shows up as high post-harvest losses (crops that are grown successfully but never make it to market in sellable condition).
Verdict
Low margins plus high unpredictability plus no scale is about as poor a combination as I can find for a concentrated, high-conviction bet. Stays on the avoid list.
▸Auto Ancillary
Auto Ancillary
More nuanced than a flat avoid, this is a sector where I stay away from direct plays but remain open to indirect ones.
Why (Direct Plays)
Direct auto ancillary names face a stack of overlapping risks: policy uncertainty generally, an unclear path for PLI (production-linked incentive) support specifically, and the structural risk that internal combustion engine (ICE) component makers face obsolescence as EV adoption accelerates. Add in intensifying competition from Chinese suppliers, and the direct-play risk/reward does not clear my bar.
Where I Stay Interested
Indirect plays that benefit from the same underlying auto/infrastructure demand without carrying the ICE-obsolescence risk directly, building materials and infrastructure raw materials being the main example.
Verdict
Avoid direct auto ancillary exposure. Indirect, infrastructure-adjacent plays remain on the table.
▸Aviation
Aviation
Structurally difficult economics for direct airline plays.
Why
Airlines run high fixed and variable costs, and in India specifically that is compounded by heavy dependence on imported jet fuel (India imports roughly 89% of its oil), meaning rupee depreciation hits airline cost structures directly and repeatedly. Layer on intense competition, not just airline-to-airline, but airlines competing against rail for the same travelers, and it is a sector where even well-run companies can struggle to convert demand growth into durable margins.
Where I Stay Interested
I prefer indirect exposure here rather than avoiding the theme entirely: airport operators (e.g., GMR) capture aviation-sector growth without carrying an airline's direct cost exposure. MRO (maintenance, repair, overhaul) businesses look structurally attractive, high margin, genuine moat potential, but as of this note, I am not aware of any pure-play listed MRO options in India, so this remains a watch-item rather than a position.
Verdict
Avoid direct airline exposure. Airport operators are an active area of interest; MRO is a watch-item pending a listed option.
▸Chemicals
Chemicals
Avoided.
Why
The core problem is competitive, not cyclical: Indian chemical manufacturers are structurally exposed to Chinese dumping, China floods global markets with chemicals at prices that are difficult to compete with, gaining market share quickly wherever it targets. Chemicals are China's third-largest export category to India after electronics and machinery, and India also imports meaningful volumes of chemical feedstock from China, which adds a second layer of vulnerability (input-cost dependency, not just finished-product competition).
The sector-wide result: minimal R&D spending and limited innovation, low ROCE, and little evidence of Indian players actually gaining durable market share.
Verdict
Nothing in the current setup suggests this changes without a major structural shift (e.g., aggressive anti-dumping policy or a large capital cycle). Stays on the avoid list until that changes.
▸Pharmaceuticals
Pharmaceuticals
The most nuanced sector on my avoid-adjacent list, not a flat avoid, but currently not actionable within my filter.
Why
India cannot compete with China on manufacturing cost, but is genuinely better positioned on quality and complex APIs (active pharmaceutical ingredients), and that gap is improving further with PLI support. R&D spending is still low relative to global peers, but the trend line is positive.
Name to Watch
Divi's Laboratories stands out, importantly, it is a manufacturing and process-optimization business, not a drug-discovery company, which is a more analyzable, less binary kind of pharma bet. Two things keep it off the table for now: valuation looked stretched as of late October 2025, and it is a large-cap, which runs directly into my broader thesis filter that large caps do not offer the asymmetric upside I am looking for regardless of business quality.
Verdict
Not currently actionable. Worth revisiting if either the valuation resets or a smaller, similarly-positioned name emerges.
Case Studies
Closed positions, published as they happen, wins and losses alike, added over time rather than backfilled after the fact. A pattern shows up early: entries tend to be well-reasoned; exits are the weaker half of the process, more often cutting winners short than mismanaging losers.
| Ticker | Sector | Skill Demonstrated | Held | Result | Outcome |
|---|
Financial Models
Supporting models linked from individual case studies and industry notes, not meant as a standalone destination.
Investment Journal
Frequent, short, unfiltered, positions being watched, half-formed ideas, and reactions to news, before they become anything more formal.
Hormuz tensions are back and crude is climbing again. This is the same setup that worked for Indigo Paints, CG Power, and ABB earlier this year: a real macro dislocation hitting stocks that are not actually broken. Watching for the same kind of opportunity, but trying not to force it just because the pattern rhymed once before.
Defence stocks rallied 3 to 6% this week as Hormuz tensions resurfaced. I do not have a real view on this sector yet, no case study, no industry note, nothing. Flagging it honestly as a gap rather than chasing the rally without doing the work first.
Came across this angle in a newsletter today, not my own original observation, but worth chasing further. India's poverty rate has fallen sharply over the past decade on most measures, and average household consumption keeps climbing. More people crossing into stable income territory means more people who can actually afford to save, insure, and invest, not just spend on essentials. That reads like a structural tailwind for financial services, insurance, and broking businesses, not a one-quarter story. Want to dig into who is actually best positioned to capture it.
Resume
BSc Economics graduate and CFA Level II candidate with a self-directed equity research practice built over six years of active investing in Indian capital markets. Well-versed in financial modelling, DCF and portfolio-level valuation and risk-adjusted performance analysis. Seeking to bring rigorous, fundamentals-driven research discipline to an Equity Research Analyst role.
Work Experience
Project Intern at Grant Thornton
Sep 2025 – Oct 2025- Conducted primary market research across kirana (retail) stores to expand survey coverage and strengthen the data set underpinning the engagement.
- Collected, translated, and structured first-hand retailer data, ensuring accuracy and consistency for downstream analysis.
- Analyzed field data and delivered a report synthesizing key insights and market trends for the client team.
Marketing Intern at Cesare Bonetti
Jun 2025 – Jul 2025- Conducted market research and competitor analysis to inform business strategy and decision-making.
- Prepared analytical and marketing materials to support outreach, positioning, and stakeholder communication.
Head of PR & Communications at Arthashastra, UG Economics Club, NMIMS
Jul 2024 – Apr 2025- Led and coordinated a team of junior members, planning engaging and educational events under time constraints.
- Managed outreach and communications, strengthening the club's visibility and student engagement in economic learning initiatives.
Research Intern at Indian National Congress
May 2024 – Jun 2024- Conducted research on policy and socio-economic issues, synthesizing findings into concise briefs for the team lead.
- Analyzed election manifestos of major political parties to derive structured, comparative insights supporting strategic initiatives.
Education
BSc Economics at SVKM's NMIMS, Bengaluru
Jul 2023 – Jul 2026- Coursework covering macroeconomic frameworks, banking systems, and central bank tools and policy objectives.
- Winner, SmartSims Business Simulation, applied strategic decisions across finance, marketing, and operations.
- Winner, Optimization & Economic Modelling Project, applied optimization techniques and developed a 3D model.
- CFA Level I Cleared.
Relevant Projects
- 3-Statement DCF Valuation Model, built a full three-statement financial model with WACC-based discounted cash flow valuation to derive intrinsic value and test investment theses.
- 5-Stock Portfolio Optimization & Risk-Return Analysis, built an Excel/Solver-based portfolio optimization model across a 5-stock portfolio including a mutual fund scheme, benchmarked against the BSE 100 and evaluated for risk-adjusted performance via VaR, Sharpe ratio, Treynor ratio, and Jensen's Alpha.
- Ratio Analysis of SBI Bank, assessed the financial health and performance of a leading BFSI institution using key ratio analysis techniques.
Certifications
- CFA Level I Cleared
- Bloomberg Market Concepts
- Bloomberg Finance Fundamentals
- Analyzing Company Performance Using Ratios
- Stock Valuation with Comparable Companies Analysis
- Financial Markets
Contact
Happy to hear from anyone interested in the research, the process behind it, or opportunities in equity research.